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Record W1995163706 · doi:10.1136/ebm1122

Administration of annual oral high-dose vitamin D to community-dwelling older women in autumn and winter months increases risk of falls and fractures

2010· letter· en· W1995163706 on OpenAlexaff
Jacques P. Brown

Bibliographic record

VenueEvidence-Based Medicine · 2010
Typeletter
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsMedicineVitamin D and neurologyPlaceboRandomized controlled trialVitaminInternal medicine

Abstract

fetched live from OpenAlex

Commentary on: 1. Sanders KM, 2. Stuart AL, 3. Williamson EJ, 4. et al . Annual high-dose oral vitamin D and falls and fractures in older women: a randomized controlled trial. JAMA 2010;303:1815–22. [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] At latitudes above 35°N, where vitamin D insufficiency is common, winter sunlight does not contain sufficient ultraviolet B for endogenous vitamin D production, necessitating supplementation. Insufficient levels of vitamin D increase risks for falling and fracture.1 Randomised controlled trials investigating the efficacy of vitamin D supplementation for preventing falls and fractures have been unequivocal, complicated by different doses, dosing regimens, delivery methods, vitamin D types and populations. Sanders and colleagues compared the rates of falls and fractures in 2256 community-dwelling women residing in southern Victoria, Australia (38°S latitude), randomly assigned to receive either an annual 500 000 IU oral dose of vitamin D3 or identical placebo each fall or winter. Women at high risk for fracture were entered into this single-centre, double-blinded trial and were followed for 3–5 years. Women were excluded if they were unable to provide consent or information regarding falls or fractures, resided in a high-level care facility, had high serum calcium (albumin-corrected >2.65 mmol/l) or creatinine (>150 µmol/l) or were currently taking ≥400 IU vitamin D per day, calcitriol or antifracture therapy. Treatment allocation was by an independent statistician. Baseline questionnaires detailed participants' ages, calcium intakes … [1]: {openurl}?query=rft.jtitle%253DJAMA%26rft.stitle%253DJAMA%26rft.issn%253D0002-9955%26rft.aulast%253DSanders%26rft.auinit1%253DK.%2BM.%26rft.volume%253D303%26rft.issue%253D18%26rft.spage%253D1815%26rft.epage%253D1822%26rft.atitle%253DAnnual%2BHigh-Dose%2BOral%2BVitamin%2BD%2Band%2BFalls%2Band%2BFractures%2Bin%2BOlder%2BWomen%253A%2BA%2BRandomized%2BControlled%2BTrial%26rft_id%253Dinfo%253Adoi%252F10.1001%252Fjama.2010.594%26rft_id%253Dinfo%253Apmid%252F20460620%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1001/jama.2010.594&link_type=DOI [3]: /lookup/external-ref?access_num=20460620&link_type=MED&atom=%2Febmed%2F15%2F6%2F175.atom [4]: /lookup/external-ref?access_num=000277513900022&link_type=ISI

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Commentary
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Other designlow
models splitAgreement compares identical category sets and study designs across arms.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.557
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.337
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Other design
Domainnot available
GenreCommentary · Empirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2010
Admission routes1
Has abstractyes

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